Natalie Hyltse

Research assistant

Department of Psychology Faculty of Health and Life Sciences

natalie.hyltse@lnu.se

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My research groups

Methods and Meta-science Within Methods and Meta-science, we work on developing and improving research methods and on projects that have a meta-scientific perspective on research. This includes…

My ongoing research projects

Project: Evidence in subject didactics and cognitive science in the preschool class and compulsory school Basic skills in reading writing and mathematics are essential for lifelong learning. It is…

Publications

Article in journal (Refereed)

Wilkinson, J., Heal, C., Antoniou, G.A., Flemyng, E., Ahnström, L., et al. (2025). Assessing the feasibility and impact of clinical trial trustworthiness checks via an application to Cochrane Reviews : Stage 2 of the INSPECT-SR project. Journal of Clinical Epidemiology. 184.
Status: Published
Carlsson, R., Batinovic, L., Hyltse, N., Kalmendal, A., Nordström, T., et al. (2024). A Beginner's Guide to Open and Reproducible Systematic Reviews in Psychology. Collabra: Psychology. 10 (1).
Status: Published

Conference paper (Refereed)

Nordström, T., Kalmendal, A., Batinovic, L., Däldborg, P., Dahl, H., et al. (2024). Reproducibility, Open Science, FAIR and Risk Of Bias in Educational Systematic Reviews : A systematic living meta-review of research standards. META-REP 2024, the conference on meta-science and replicability in the social, behavioural, and cognitive sciences. October 28 to 31, 2024 in Munich, Germany.
Nordström, T., Kalmendal, A., Lucija, B., Däldborg, P., Dahl, H., et al. (2024). FAIR-data adherence in systematic reviews : A closer (meta) view of educational science. Presented at Open Science Community Sweden Conference 2024, Växjö, Sweden, 24/9-26/9 2024.
Hyltse, N., Carlsson, R., Nilsonne, G. (2023). ROSE (Risk of Statistical Error) : A checklist to assess the risk of errors in statistical reporting and datasets.. .
Hyltse, N., Carlsson, R. (2023). Showcasing Untapped Opportunities for Interdisciplinary Understanding through Bibliometrics in Learning Analytics and Educational Research. . 26-27.

Conference paper (Other academic)

Hyltse, N., Carlsson, R., Nilsonne, G. (2023). ROSE (Risk of Significant Error) : A checklist to assess the risk of errors in statistical reporting and datasets. .